v1v2v3v4 (latest)

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

9 October 2017

J. Qiu

Yuxiao Dong

Hao Ma

Papers citing "Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec"

50 / 252 papers shown

Title
Next Waves in Veridical Network EmbeddingStatistical analysis and data mining (Stat. Anal. Data Min.), 2020 Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 213 5 0 10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing FeaturesFuture generations computer systems (FGCS), 2020 Hibiki Taguchi Xin Liu T. Murata GNN 146 117 0 09 Jul 2020
Faster Graph Embeddings via Coarsening Matthew Fahrbach Gramoz Goranci Richard Peng Sushant Sachdeva Chi Wang 154 31 0 06 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 178 31 0 03 Jul 2020
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang Zengfeng Huang Haicang Zhou Ziang Zhou SSL BDL 212 21 0 30 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Luke Huan SSL AI4CE 236 619 0 27 Jun 2020
Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling Simone Piaggesi Andre' Panisson 89 3 0 25 Jun 2020
Efficient Matrix Factorization on Heterogeneous CPU-GPU SystemsIEEE International Conference on Data Engineering (ICDE), 2020 Yuanhang Yu Dong Wen Ying Zhang Xiaoyang Wang Wenjie Zhang Xuemin Lin 48 7 0 24 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 438 1,030 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 384 1,899 0 15 Jun 2020
Node Embeddings and Exact Low-Rank Representations of Complex NetworksNeural Information Processing Systems (NeurIPS), 2020 Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis BDL 376 37 0 10 Jun 2020
FREDE: Anytime Graph Embeddings Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras Ivan Oseledets Emmanuel Müller 174 38 0 08 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 199 27 0 08 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 211 940 0 07 Jun 2020
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems Yizi Zhang Meimei Liu 128 0 0 05 Jun 2020
The role of exchangeability in causal inferenceStatistical Science (Statist. Sci.), 2020 O. Saarela D. Stephens E. Moodie 371 7 0 02 Jun 2020
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a NonlinearityKnowledge Discovery and Data Mining (KDD), 2020 Sudhanshu Chanpuriya Cameron Musco 165 28 0 29 May 2020
Blockchain is Watching You: Profiling and Deanonymizing Ethereum UsersIEEE International Conference on Decentralized Applications and Infrastructures (ICDAI), 2020 Ferenc Béres István András Seres András A. Benczúr Mikerah Quintyne-Collins 120 92 0 28 May 2020
The Effects of Randomness on the Stability of Node Embeddings Tobias Schumacher Hinrikus Wolf Martin Ritzert Florian Lemmerich Jan Bachmann Florian Frantzen Max Klabunde Martin Grohe M. Strohmaier 108 23 0 20 May 2020
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding Xiyuan Chen Mark Heimann Fatemeh Vahedian Danai Koutra 3DPC 92 5 0 10 May 2020
HNet: Graphical Hypergeometric Networks E. Taskesen 47 0 0 10 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 193 318 0 07 May 2020
PushNet: Efficient and Adaptive Neural Message PassingEuropean Conference on Artificial Intelligence (ECAI), 2020 Julian Busch Jiaxing Pi T. Seidl GNN 152 12 0 04 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender SystemsThe Web Conference (WWW), 2020 Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou Helen Zhou 196 104 0 04 Mar 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 204 66 0 03 Mar 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Shucheng Zhou AAML GNN 226 105 0 02 Mar 2020
The Spectral Underpinning of word2vecFrontiers in Applied Mathematics and Statistics (FAMS), 2020 Ariel Jaffe Y. Kluger Ofir Lindenbaum J. Patsenker Erez Peterfreund Stefan Steinerberger 152 8 0 27 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lio GNN 101 15 0 11 Feb 2020
Graph Representation Learning via Graphical Mutual Information MaximizationThe Web Conference (WWW), 2020 Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Qifeng Bai Junzhou Huang SSL 265 638 0 04 Feb 2020
ExEm: Expert Embedding using dominating set theory with deep learning approachesExpert systems with applications (ESWA), 2020 Narjes Nikzad Khasmakhi M. Balafar M. Feizi-Derakhshi C. Motamed 83 19 0 16 Jan 2020
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection A. Lutov Dingqi Yang Philippe Cudré-Mauroux 56 7 0 17 Dec 2019
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation LearningComputer Vision and Pattern Recognition (CVPR), 2019 Shuai Zheng Zhenfeng Zhu Xingxing Zhang Zhizhe Liu Jian Cheng Yao-Min Zhao OOD GAN 117 35 0 04 Dec 2019
Exponential Family Graph EmbeddingsAAAI Conference on Artificial Intelligence (AAAI), 2019 Abdulkadir Çelikkanat Fragkiskos D. Malliaros 75 13 0 20 Nov 2019
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity PreservedJournal of Artificial Intelligence Research (JAIR), 2019 Jianxin Li Cheng Ji Hao Peng Yu He Yangqiu Song Xinmiao Zhang Fanzhang Peng 125 2 0 18 Nov 2019
Diffusion Improves Graph LearningNeural Information Processing Systems (NeurIPS), 2019 Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 668 786 0 28 Oct 2019
Network2Vec Learning Node Representation Based on Space Mapping in Networks Zhenhua Huang Zhenyu Wang Rui Zhang Yangyang Zhao Xiaohui Xie S. Mehrotra 59 1 0 23 Oct 2019
Learning Robust Representations with Graph Denoising Policy NetworkIndustrial Conference on Data Mining (IDM), 2019 Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 86 29 0 04 Oct 2019
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and InsightsIndustrial Conference on Data Mining (IDM), 2018 Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han 124 43 0 29 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 542 967 0 28 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 105 22 0 25 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamicsInternational Conference on Information and Knowledge Management (CIKM), 2019 Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 151 128 0 10 Sep 2019
Kernel Node EmbeddingsIEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019 Abdulkadir Çelikkanat Fragkiskos D. Malliaros 59 2 0 08 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network EmbeddingInternational Conference on Information and Knowledge Management (CIKM), 2019 Yu He Yangqiu Song Jianxin Li Cheng Ji Jian Peng Hao Peng 120 114 0 07 Sep 2019
Parallel Computation of Graph Embeddings Chi Thang Duong Hongzhi Yin Thanh Dat Hoang Truong Giang Le Ba Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer GNN 43 2 0 06 Sep 2019
Fast and Accurate Network Embeddings via Very Sparse Random ProjectionInternational Conference on Information and Knowledge Management (CIKM), 2019 Haochen Chen Syed Fahad Sultan Yingtao Tian Muhao Chen Steven Skiena 95 98 0 30 Aug 2019
Initialization for Network Embedding: A Graph Partition ApproachWeb Search and Data Mining (WSDM), 2019 Wenqing Lin Feng He Faqiang Zhang Feng He Hongyun Cai GNN 120 25 0 28 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 95 39 0 22 Aug 2019
HONEM: Learning Embedding for Higher Order Networks Mandana Saebi Giovanni Luca Ciampaglia Lance M. Kaplan Nitesh Chawla 59 4 0 15 Aug 2019
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019 Heng Chang Yu Rong Qifeng Bai Wenbing Huang Honglei Zhang Peng Cui Wenwu Zhu Junzhou Huang AAML 155 164 0 04 Aug 2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction NetworksKnowledge Discovery and Data Mining (KDD), 2019 Srijan Kumar Xikun Zhang J. Leskovec AI4TS 185 854 0 03 Aug 2019